Abstract:
Intelligent Transport Systems (ITS) leverage advanced in- formation and
communication technologies to enhance the safety and efficiency of road
transport. The integration of sensors, whether embed- ded in vehicles or city
infrastructure, provides real-time data on traf- fic conditions and weather, which
is crucial for optimizing road usage. This paper proposes an ontology-based
architecture to create a stan- dardized framework for managing and exchanging
information between various transport applications. By utilizing Semantic Web
technologies and RDF-based data representation, the system ensures
interoperability and facilitates knowledge sharing. The framework stores
collected data in a hierarchical ontology, allowing for detailed statistical analysis
to identify recurring issues and provide real-time insights. The proposed solution
aims to enhance decision-making processes for both traffic man- agement
systems and individual vehicles, offering access to the latest updates and
frequently observed problems. The implementation of this architecture can
significantly improve urban mobility and reduce conges- tion, contributing to
smarter and safer cities
